code: def __init__(self, model):
      super().__init__()
      self.__model = model
  
imports: import os
  import numpy
  from tqdm import tqdm
  from paddlehub.common.logger import logger
  from slda_webpage.document import LDADoc, SLDADoc, Token, Sentence
  from slda_webpage.vose_alias import VoseAlias
  from slda_webpage.util import rand, rand_k
label_desc: Use image node_id 1 to create a new GibbsSampler object from inherited base classes: Sampler with example: obj = GibbsSampler(model)